Built for revenue · Case study · AI
We found 3,000+ right-fit companies before a single cold call.
An AI targeting engine built for B&B Press that discovers and qualifies net-new companies against their ideal customer profile, so outbound starts with the right accounts, not a guess.
AI targeting engine
Companies discovered3,000+
Qualified against ICP1,357
Ready for outboundBefore a cold call
Every account matched to the ideal customer profile, enriched and prioritised, ready for the outbound engine.
3,000+
net-new companies discovered
1,357
qualified against the ideal customer profile
0
cold calls needed to build the list
1
connected engine feeding sales and marketing
A real company
B&B Press, printing in the North of England for over 60 years.
The challenge
Outbound is only as good as who you target.
B&B Press had a clear ideal customer profile after the positioning work, but building a real, qualified list of those companies by hand is slow, and easy to get wrong. Reps end up guessing, or working stale lists, and outbound leaks effort against accounts that were never a fit.
The question was simple: who, exactly, should we be talking to, and are they worth the time before anyone picks up the phone?
What we built
An AI targeting engine, wired to HubSpot.
- Discovery at scale. AI surfaced 3,000+ net-new companies that matched the ideal customer profile, far beyond a manual list.
- Qualification, not just a list. Each company scored against real ICP criteria, narrowing 3,000+ down to 1,357 genuinely worth pursuing.
- Straight into HubSpot. Qualified accounts enriched and prioritised in the CRM, ready for the multi-touch outbound engine.
- One connected motion. Sales and marketing working the same qualified accounts, before a single cold call was made.
Know exactly who to target, before you spend a minute on outbound.
Talk to Rikki or Emma about building an AI targeting engine on your HubSpot.
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